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**Senior Product Owner / Lead Business Analyst - Data Foundation Lead** Drive data innovation at UBS Asset Management, shaping the future of data management in our Chief Data Office. As a decisive Senior Product Owner / Lead Business Analyst, you'll steer the data foundation roadmap, collaborate across business units, and design target data architectures. Leverage data analytics to uncover trends, enhance data quality, and guide strategic business decisions. Experience with data engineering, business analysis, and stakeholder management is crucial, along with a proven track record in data-driven transformation.

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Are you passionate about transforming data into a true asset that drives innovation and growth? Do you have the expertise and vision to help shape the future of data management for a leading global asset manager? If so, we want you to join our Chief Data Office (CDO) team as a Senior Product Owner / Lead Business Analyst. We at UBS Asset Management believe that data is not just information its one of our most valuable assets. Our mission is to establish data as a value driver and enabler of strategic innovation across the firm. We are seeking a driven, forward-thinking individual who can help us build the next generation of data platforms and unlock the potential of AI and GenAI for the future. Your role: As a Senior Product Owner / Lead Business Analyst, you will play a key role in building and managing the data foundation of UBS Asset Management, working at the intersection of data, technology, and business. Your responsibilities will include: - Managing the Roadmap: Define and prioritize the product roadmap for all applications supporting our data foundation, ensuring alignment with the CDOs strategic vision. - Business Analysis: Collaborate with key stakeholders across UBS Asset Management to analyze business requirements, define use cases, and translate them into actionable projects. - As-Is Process & Data Flow Analysis: Conduct comprehensive assessments of current data flows, processes, and systems to identify opportunities for innovation and efficiency. - Target Operating Model & Data Architecture Design: Work closely with data engineers and architects to design the target operating model and data architecture that will transform our data management landscape. - Data Analytics & Insights: Leverage data analytics to identify patterns, trends, and anomalies in data, providing insights that drive business decisions and improve data quality. - Documentation & User Support: Ensure all data systems and processes are well-documented, including process flows, data dictionaries, and user guides. Support user acceptance testing (UAT) and assist end-users during transitions to new platforms.

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